Factual package intelligence from PyPI

dantis 0.0.1 package intelligence

DANTIS brings together **90+ anomaly detection algorithms** (from classical statistical methods and machine learning to deep learning) under a **unified scikit-learn–style API**. It consolidates models from diverse libraries and includes proprietary algorithms developed by our te

pip install dantis

Current version
0.0.1
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
373.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

dantis dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20
  2. pyod >=1.1
  3. xgboost >=2.0
  4. combo >=0.1
  5. suod >=0.1.1
  6. tensorflow >=2.13
  7. torch >=2.1.2
  8. stumpy >=1.12.0
  9. statsmodels >=0.13.5
  10. saxpy ==1.0.1.dev167
  11. pomegranate ==1.1.2
  12. fuzzy-c-means >=1.7.2
  13. river >=0.22.0
  14. PyWavelets >=1.8.0

Compatibility and release files

dantis publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .